The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
CuO Nanospheres Based Nonenzymatic Glucose Sensor
Abstract
CuO nanospheres, synthesized by a simple one‐step hydrothermal method, have been applied to modify the glassy carbon (GC) electrode for sensitive nonenzymatic glucose detection. The CuO nanospheres modified electrode, compared to the Nafion modified GC electrode, exhibits an enhanced electrocatalytic property for direct glucose oxidation and shows a fast response and a high sensitivity for the amperometric detection of glucose. It has been determined that the dissolved oxygen is not involved in glucose oxidation and the high concentration of NaCl does not poison the electrode. These results also indicate that CuO nanospheres have great potential application in electrochemical detection.
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Citations
Cites
Glucose Biosensors Based on Carbon Nanotube Nanoelectrode Ensembles
Lin, Y., Lu, F., Tu, Y., & Ren, Z. (2004) · Nano Letters · doi:10.1021/nl0347233 · Cited by 895
Zinc oxide nanocomb biosensor for glucose detection
Wang, J. X., Sun, X. W., Wei, A., Lei, Y., Cai, X. P., Li, C. M., & Dong, Z. L. (2006) · Applied Physics Letters · doi:10.1063/1.2210078 · Cited by 595
Self-citationNonenzymatic Glucose Detection Using Mesoporous Platinum
Park, S., Chung, T. D., & Kim, H. C. (2003) · Analytical Chemistry · doi:10.1021/ac0263465 · Cited by 594
Kang, X., Mai, Z., Zou, X., Cai, P., & Mo, J. (2007) · Analytical Biochemistry · doi:10.1016/j.ab.2007.01.003 · Cited by 572
Nonenzymatic Electrochemical Glucose Sensor Based on Nanoporous PtPb Networks
Wang, J., Thomas, D. F., & Chen, A. (2008) · Analytical Chemistry · doi:10.1021/ac701790z · Cited by 534
Li, Y., Song, Y.-Y., Yang, C., & Xia, X.-H. (2007) · Electrochemistry Communications · doi:10.1016/j.elecom.2006.11.035 · Cited by 515
An improved sensitivity non-enzymatic glucose sensor based on a CuO nanowire modified Cu electrode
Zhuang, Z., Su, X., Yuan, H., Sun, Q., Xiao, D., & Choi, M. M. F. (2008) · The Analyst · doi:10.1039/b712970j · Cited by 481
Enzymatic glucose biosensor based on ZnO nanorod array grown by hydrothermal decomposition
Wei, A., Sun, X. W., Wang, J. X., Lei, Y., Cai, X. P., Li, C. M., Dong, Z. L., & Huang, W. (2006) · Applied Physics Letters · doi:10.1063/1.2356307 · Cited by 442
Self-citationHighly Ordered Platinum‐Nanotubule Arrays for Amperometric Glucose Sensing
Yuan, J. H., Wang, K., & Xia, X. H. (2005) · Advanced Functional Materials · doi:10.1002/adfm.200400321 · Cited by 432
Nonenzymatic glucose detection using multi-walled carbon nanotube electrodes
Ye, J.-S., Wen, Y., De Zhang, W., Ming Gan, L., Xu, G. Q., & Sheu, F.-S. (2004) · Electrochemistry Communications · doi:10.1016/j.elecom.2003.10.013 · Cited by 325
Cited by
A Comprehensive Review of Glucose Biosensors Based on Nanostructured Metal-Oxides
Rahman, M. M., Ahammad, A. J. S., Jin, J.-H., Ahn, S. J., & Lee, J.-J. (2010) · Sensors · doi:10.3390/s100504855 · Cited by 762
Karikalan, N., Karthik, R., Chen, S.-M., Karuppiah, C., & Elangovan, A. (2017) · Scientific Reports · doi:10.1038/s41598-017-02479-5 · Cited by 319
Liang, X., Zhang, S., Meng, S., Tan, R., Zhang, K., & Hu, J. (2024) · Microchemical Journal · doi:10.1016/j.microc.2024.111690 · Cited by 24
Metadata
- Authors
- Reitz, E., Jia, W., Gentile, M., Wang, Y., & Lei, Y.
- Venue
- Electroanalysis
- Publisher
- Wiley
- Published
- 2008-11
- Volume
- 20
- Issue
- 22
- Pages
- 2482-2486
- ISSN
- 1040-0397 (ISSN-L)
- 1521-4109
- OpenAlex
- W2147284301
- Cited by
- 346
- References
- 28
- FWCI
- 11.95
- Type
- journal article
- Language
- en
- Open access
- closed
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- Reitz, E., Jia, W., Gentile, M., Wang, Y., & Lei, Y. (2008). CuO Nanospheres Based Nonenzymatic Glucose Sensor. Electroanalysis. https://doi.org/10.1002/elan.200804327
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
